کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
536736 | 870615 | 2007 | 7 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A robust shot transition detection method based on support vector machine in compressed domain A robust shot transition detection method based on support vector machine in compressed domain](/preview/png/536736.png)
In this paper we propose a new algorithm for shot transition detection. A multi-class support vector machine (SVM) classifier is constructed to differentiate frames of a video into three categories: abrupt change, gradual change and non-change. This approach enables us to integrate many kinds of features into a uniform structure and to eliminate arbitrary selection of thresholds. To enhance the robustness of the algorithm, we form the feature vector from all frames within a temporal windows, each frame represented by six features in compressed domain. Experimental results on TREC-2001 video data set have shown that the result of our algorithm is 8% higher than the best result of 2001 TREC evaluation in F1 comparison when cut and gradual changes are both considered.
Journal: Pattern Recognition Letters - Volume 28, Issue 12, 1 September 2007, Pages 1534–1540